Pinta is a system for segmentation and visualization of anatomical structures obtained from serial sections reconstructed from Magnetic Resonance Imaging. The system approaches the segmentation problem by assigning each volumetric region to an anatomical structure. This is accomplished by satisfying constraints at the pixel level, slice level, and volumetric level. Each slice is represented by an attributed graph, where nodes correspond to regions and links correspond to the relations between regions. Next, the slice level attributed graphs are coerced to form a volumetric attributed graph, where volumetric consistency can be verified. The main novelty of our approach is in the use of the volumetric graph to ensure consistency from symbolic representations obtained from individual slices. In this fashion, the system allows errors to be made at the slice level, yet removes them when the volumetric consistency can not be verified. Once the segmentation is complete, surfaces of the 3D brain structures can be constructed and visualized. We present results obtained from real data and examine the performance of our system.